Research On Low-carbon Economic Dispatch Of Multi-source Power Syste

With the proposal of the dual carbon goal of "carbon peak and carbon neutrality",vigorously developing clean energy such as wind power and photovoltaics and promoting the optimization of energy structure has become an inevitable trend.However,the inherent randomness,volatility,inverse peak regulation and intermittency of wind and solar power generation output,and problems such as system peak regulation pressure and clean energy consumption during large-scale grid connection are becoming increasingly serious.In order to ensure the safety and reliability of the system and provide rotating backup to the greatest extent,taking into account the low-carbon and economical operation of the system in scheduling has become a research hotspot.In this context,this paper mainly studies from the perspective of multi-source complementarity considering the uncertainty of wind and solar loads and the interaction between sources and loads under demand response,and takes the low-carbon economic dispatch of multi-source power system as the framework,and the main research contents are summarized as followsFirstly,the components of the multi-source power system are introduced.The principle of complementarity and the low-carbon mechanism of carbon trading mechanism and demand response measures were analyzed.And the carbon transaction cost model,wind power generation probability model,photovoltaic power generation probability model,and incentive demand response and price demand response model including multi-source power system are established.Secondly,in order to give full play to the complementary endowments of wind,solar and thermal storage resources,and use the carbon trading economic lever to give clean energy more priority dispatching rights,a low-carbon economic dispatching model of multi-source power system considering the uncertainty of wind-solar load is established.Taking the minimum comprehensive operating cost of the system as the objective function,the constraints such as power equation balance and rotational standby inequality balance including random variables,power output,thermal power unit climbing,and energy storage power are comprehensively considered.Under the premise of ensuring the safety and reliability of the system to the greatest extent,the uncertainty of wind power,photovoltaic and load is handled by random chance constraint to enhance the flexibility of rotational backup,and the stochastic simulated particle swarm algorithm combined with Monte Carlo and particle swarm algorithm is used to solve the problem.The IEEE 30-node system containing new energy such as wind and solar is analyzed,and the results show that the proposed model can improve the low-carbon and economical nature of the system.Finally,in order to further tap the low-carbon potential of load-side demand response and enhance the level of source-load interaction,a multi-source power system dispatching model considering demand response is proposed.Using the two-layer scheduling solution idea,the upper layer establishes the objective function of the system net load fluctuation variance and the minimum amount of clean energy curtailment,the power supply side uses the collaborative optimization of wind,solar and water storage to carry out a "peak shaving and valley filling" of the net load curve,the load side introduces price-based and incentive-type response measures for the second "peak shaving and valley filling",and the two-side interaction of source and load is adopted to reduce the load peak-valley difference and volatility,and improve the consumption level of wind power and photovoltaics.The lower layer establishes the objective function of the minimum overall cost of the system,taking into account the low carbon nature of the system.The example analysis verifies that the source-load two-sided interactive dispatching model proposed in this paper has better low-carbon and economic advantages than only considering the power supply side or only considering the load side,which is conducive to improving the ability of the power system to absorb clean energy.